Method and device for assessing damage to pressure swing adsorption apparatus and storage medium

Abstract

The application provides a damage evaluation method and device of a pressure swing adsorption device and a storage medium, relates to the technical field of damage evaluation, and comprises the following steps: collecting operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into a damage evaluation model to perform state monitoring on the pressure swing adsorption device, and obtaining a state monitoring result; performing damage mode identification according to a monitoring result in the state monitoring result to obtain damage mode data; performing health state evaluation based on the damage mode data to obtain a health evaluation result; and performing continuous monitoring on the pressure swing adsorption device according to the health evaluation result. The application can solve the technical problem that, due to the limitation of a single detection method, the actual damage condition of an adsorber under complex working conditions cannot be comprehensively and accurately evaluated in the prior art, achieve the technical goal of multi-modal quantitative detection, and achieve the technical effects of comprehensively and accurately monitoring the damage of the adsorber and improving the reliability of damage identification.

Description

Technical Field

[0001] This application relates to the field of damage assessment technology, and in particular to damage assessment methods, devices and storage media for pressure swing adsorption devices. Background Technology

[0002] With the rapid development of industry and energy sectors, adsorbers, as important equipment, are widely used in gas separation, storage, and purification. Their use is becoming increasingly common, especially in hydrogen-rich environments. However, the fatigue damage caused by hydrogen-rich environments to adsorber materials is becoming increasingly significant. The unique characteristics of this environment make adsorbers prone to performance degradation and even equipment failure during long-term operation, posing a significant challenge to the reliability and safety of adsors.

[0003] Currently, existing damage detection methods mostly focus on monitoring a single parameter, such as temperature, pressure, or vibration. However, these single detection methods often cannot comprehensively and accurately assess the actual damage to the adsorber under complex operating conditions. Especially under the combined effects of hydrogen-rich environments and alternating loads, a single detection method is insufficient to fully reflect the evolution of damage. Therefore, there is an urgent need to adopt a comprehensive assessment approach that combines multiple detection technologies to monitor different damage modes of the adsorber in real time, thereby improving the accuracy and sensitivity of damage detection. These detection technologies can perform quantitative analysis of the adsorber from multiple dimensions, providing more accurate data support for damage assessment.

[0004] In summary, existing technologies suffer from limitations due to the reliance on single detection methods, which prevent a comprehensive and accurate assessment of the actual damage to the adsorber under complex operating conditions, further impacting the reliability of damage identification. Summary of the Invention

[0005] The purpose of this application is to provide a damage assessment method, apparatus, and storage medium for pressure swing adsorption (PSA) devices, in order to solve the technical problem in the prior art where the limitations of a single detection method make it impossible to comprehensively and accurately assess the actual damage of the adsorber under complex operating conditions, which further affects the reliability of damage identification.

[0006] In view of the above problems, this application provides a damage assessment method, apparatus and storage medium for pressure swing adsorption devices.

[0007] In a first aspect, this application provides a damage assessment method for a pressure swing adsorption (PSA) device, implemented using a PSA device damage assessment apparatus, comprising: real-time acquisition of operating data of the PSA device via a sensor system; inputting the operating data into a damage assessment model to perform state monitoring of the PSA device and obtaining state monitoring results; performing damage pattern identification based on the monitoring results in the state monitoring results to obtain damage pattern data; performing a health status assessment based on the damage pattern data to obtain a health assessment result; and continuously monitoring the PSA device based on the health assessment result.

[0008] Secondly, this application also provides a damage assessment device for a pressure swing adsorption (PSA) device, used to perform the damage assessment method for a PSA device as described in the first aspect, comprising: a condition monitoring module, which is used to collect operating data of the PSA device in real time through a sensor system, input the operating data into a damage assessment model to monitor the condition of the PSA device, and obtain condition monitoring results; a damage pattern recognition module, which is used to perform damage pattern recognition based on the monitoring results in the condition monitoring results, and obtain damage pattern data; a health status assessment module, which is used to perform a health status assessment based on the damage pattern data, and obtain a health assessment result; and a continuous monitoring module, which is used to continuously monitor the PSA device based on the health assessment result.

[0009] Thirdly, a computer-readable storage medium storing a computer program that, when executed, implements the steps of the damage assessment method for the pressure swing adsorption device described in any one of the first aspects.

[0010] The technical solution provided in this application has at least the following technical effects or advantages: Real-time acquisition of operating data of the pressure swing adsorption (PSA) device via a sensor system; inputting the operating data into a damage assessment model to monitor the state of the PSA device and obtain state monitoring results; damage pattern identification based on the monitoring results in the state monitoring results to obtain damage pattern data; health status assessment based on the damage pattern data to obtain health assessment results; and continuous monitoring of the PSA device based on the health assessment results. In other words, by achieving the technical goal of multimodal quantitative detection, comprehensive and accurate monitoring of adsorber damage is achieved, improving the reliability of damage identification, thereby effectively extending the service life of the equipment and ensuring its safe operation.

[0011] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0013] Figure 1 This is a schematic flowchart of the damage assessment method for the pressure swing adsorption device of this application;

[0014] Figure 2 This is a schematic diagram of the damage assessment device for the pressure swing adsorption apparatus of this application.

[0015] Figure labeling: Status monitoring module 11, damage pattern recognition module 12, health status assessment module 13, continuous monitoring module 14. Detailed Implementation

[0016] This application addresses the technical problem in existing technologies where the limitation of single detection methods prevents a comprehensive and accurate assessment of the actual damage to the adsorber under complex operating conditions, thus affecting the reliability of damage identification. It provides a damage assessment method, apparatus, and storage medium for pressure swing adsorption (PSA) devices. The application achieves the technical goal of multimodal quantitative detection, enabling comprehensive and accurate monitoring of adsorber damage, improving the reliability of damage identification, and effectively extending equipment lifespan and ensuring safe operation.

[0017] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0018] Example 1, please refer to the appendix. Figure 1This application provides a damage assessment method for a pressure swing adsorption (PSA) device, applicable to a damage assessment device for a PSA device, specifically including the following steps:

[0019] Step 1: Collect the operating data of the pressure swing adsorption device in real time through the sensor system, input the operating data into the damage assessment model to monitor the condition of the pressure swing adsorption device, and obtain the condition monitoring results.

[0020] Specifically, the pressure swing adsorption (PSA) unit's operational data is collected in real time through a sensor system. First, the sensors monitor and record the operating parameters of key components, such as pressure, temperature, flow rate, and gas concentration. This data reflects the unit's actual operating status. For example, a decrease in gas flow rate in the adsorption bed may indicate a decline in adsorption capacity or blockage. Next, this real-time operational data is input into a damage assessment model. By analyzing the input data, the model identifies signs of damage or malfunction. For instance, abnormal fluctuations in the temperature and pressure of the adsorption bed may indicate agglomeration or damage. Finally, the output of the damage assessment model is used for status monitoring. The system assesses the equipment's health status and generates monitoring results. For example, when the equipment's health status score falls below a set threshold, the system may issue an alert, reminding the operator to perform maintenance or adjustments.

[0021] Step 2: Based on the monitoring results in the condition monitoring results, damage pattern identification is performed to obtain damage pattern data.

[0022] Specifically, based on the monitoring results in the condition monitoring report, firstly, the condition monitoring results include various operational data of the pressure swing adsorption (PSA) unit, such as real-time values ​​of temperature, pressure, and flow rate. These data reflect the operating status of the unit. Next, by performing damage mode identification on these monitoring results, the system can analyze different damage modes. For example, if the equipment operates under high-temperature conditions and pressure fluctuations occur, this may be an indication of seal damage. By analyzing the data change trends in the monitoring results, the system can identify the potential causes of damage behind these changes. Damage mode data refers to data information obtained during the analysis process that indicates the type of equipment damage, such as possible seal damage, adsorption bed blockage, or other internal faults. This damage mode data can further guide maintenance personnel to take appropriate repair measures to ensure the normal operation of the equipment.

[0023] Step 3: Based on the injury pattern data, conduct a health status assessment to obtain the health assessment results.

[0024] Specifically, health status assessment based on the damage pattern data first requires understanding that this data is derived from monitoring and analyzing the equipment's operating status, revealing the specific extent of damage. By inputting this damage pattern data into the health status assessment model, the system combines it with the equipment's normal operating standards to evaluate its current health status. For example, if the equipment's sensors detect excessively high temperatures or excessively low pressures, this damage pattern data will be used to determine whether the equipment is excessively worn or damaged. The health status assessment result, based on this analytical data, concludes whether the equipment requires maintenance and whether it can continue to operate safely.

[0025] Step 4: Continuously monitor the pressure swing adsorption device based on the health assessment results.

[0026] Specifically, continuous monitoring of the pressure swing adsorption (PSA) device based on the health assessment results means that after completing the initial health status assessment, the system will determine whether long-term, continuous monitoring of the PSA device is necessary based on the assessment results. For example, if the assessment results show that the device is in high health, the monitoring frequency can be reduced, and checks can be performed only during critical periods. However, if the assessment results show that the device is in low health, the monitoring frequency needs to be increased, and various operating parameters of the device, such as temperature, pressure, and flow rate, may be tracked in real time. The purpose of continuous monitoring is to identify potential problems in advance before equipment failure occurs, thereby avoiding sudden shutdowns or major damage to the equipment. Through this continuous monitoring, it is possible to ensure that the equipment remains stable during long-term operation, promptly detect possible faults, and take corresponding maintenance measures, thereby extending the service life of the equipment.

[0027] The damage assessment method for the pressure swing adsorption (PSA) device can be applied to the damage assessment device of the PSA device to achieve the technical goal of multimodal quantitative detection, so as to achieve comprehensive and accurate monitoring of adsorber damage, improve the reliability of damage identification, and thus effectively extend the service life of the equipment and ensure the safe operation of the equipment.

[0028] Furthermore, this application also includes: introducing an adaptive calibration mapping relationship, performing device status identification on the initial sensor system by collecting real-time data to obtain a real-time status, wherein the adaptive calibration mapping includes a mapping relationship between device data and device status; performing device health identification on the initial sensor system based on the real-time status to obtain a sensor repair strategy; and repairing the initial sensor system according to the sensor repair strategy to obtain the sensor system.

[0029] Specifically, adaptive calibration mapping is a dynamic adjustment mechanism that calibrates equipment based on real-time data to minimize the error between the measured results and the actual state. By collecting real-time data, the system can reflect the current operating status of the equipment, such as temperature, pressure, or vibration. Then, through equipment status recognition technology, the system infers the actual operating condition of the equipment based on this data, such as whether the equipment is normal or whether there are signs of malfunction. Real-time status refers to the health and performance status of the equipment at the current moment. For example, if the equipment temperature exceeds a set range, the system will determine it as an abnormal state. Adaptive calibration mapping provides a mechanism for real-time adjustment and optimization of equipment monitoring by mapping the relationship between the equipment's operating data and its status, thereby ensuring the accuracy of equipment status monitoring.

[0030] After obtaining real-time status, the system performs a health assessment based on the device's current condition, such as analyzing whether the device's temperature and pressure are within normal operating ranges. If the device's health status indicates a potential risk of failure, the system initiates a device health identification procedure to assess whether the device requires repair. Sensor repair strategies are solutions proposed by the system to improve or restore sensor functionality. For example, if a sensor drifts, causing inaccurate data, the system may recommend recalibrating or replacing the sensor. Implementing this strategy helps ensure the accuracy and reliability of the device, preventing sensor failures from impacting the overall performance of the device.

[0031] After developing a sensor repair strategy, the next step is to execute the actual repair work. For example, following the repair strategy might involve cleaning, recalibrating, or replacing damaged sensor components. Through these repair measures, the system can restore the sensor's functionality, enabling it to provide accurate data output again. Ultimately, the repaired sensor system returns to normal operation, ensuring the equipment can continue to monitor and control various operating parameters, thus achieving long-term stable operation.

[0032] Furthermore, this application also includes: collecting historical operating data and fault records to construct the damage assessment model, wherein the damage assessment model includes a pressure analysis channel, a temperature analysis channel, a flow analysis channel, and a concentration analysis channel; extracting pressure fluctuations from the operating data, inputting them into the pressure analysis channel, and performing pressure fluctuation analysis to obtain pressure monitoring results; extracting temperature fluctuations from the operating data, inputting them into the temperature analysis channel, and performing temperature fluctuation analysis to obtain temperature monitoring results; extracting gas flow rates from the operating data, inputting them into the flow analysis channel, and performing gas flow analysis to obtain flow monitoring results; extracting gas concentrations from the operating data, inputting them into the concentration analysis channel, and performing gas concentration analysis to obtain concentration monitoring results; and combining the pressure monitoring results, the temperature monitoring results, the flow monitoring results, and the concentration monitoring results to obtain the status monitoring results.

[0033] Specifically, collecting historical operational data refers to data obtained from the long-term operation of equipment or systems. This data reflects the equipment's performance at different times. For example, historical records of indicators such as pressure, temperature, and flow rate help us understand the equipment's normal and abnormal states. Meanwhile, fault records refer to information related to faults that occur during equipment operation, such as fault type, occurrence time, and duration. This information helps analyze potential problems with the equipment. By collecting this data, a damage assessment model can be built. This model includes different analytical channels, such as pressure, temperature, flow rate, and concentration analysis channels. These channels correspond to the monitoring and analysis of different parameters in the equipment. Each channel's function is to perform in-depth analysis of specific variables, thereby assessing the equipment's health status.

[0034] Next, during the damage assessment process, pressure fluctuation information is first extracted from historical operating data. Pressure fluctuation refers to the change in pressure value over time during equipment operation. If the pressure change exceeds the normal design range of the equipment, it may lead to damage. After extracting this fluctuation data, it is input into the pressure analysis channel, which is specifically used to analyze the pressure change pattern. By analyzing pressure fluctuations, the system can identify whether there are abnormal pressure fluctuations in the equipment, and thus obtain pressure monitoring results. These results help assess the risk of equipment damage due to abnormal pressure.

[0035] Temperature fluctuations refer to changes in the temperature of equipment during operation. For example, excessively high temperature fluctuations within a certain period can lead to equipment damage. By extracting temperature fluctuation information from historical operating data and inputting it into a temperature analysis channel for detailed analysis, the system can identify abnormal temperature trends or situations. Ultimately, after temperature fluctuation analysis, the system can obtain temperature monitoring results, which helps determine whether the equipment is within its normal temperature range, thereby ensuring its safe operation.

[0036] Gas flow fluctuations refer to the changes in gas flow rate over time during equipment operation. If flow fluctuations exceed the normal range, it may indicate a problem with a component of the equipment. By extracting flow data from historical operating data and inputting it into the flow analysis channel, the system can perform detailed flow analysis. Flow analysis helps the monitoring system identify any flow anomalies, thereby determining whether the equipment is operating normally. Ultimately, the analysis results provide flow monitoring findings to help assess the health status of the equipment.

[0037] Changes in gas concentration can affect equipment efficiency or indicate leaks or blockages within the system. By extracting gas concentration information from operational data and inputting it into a concentration analysis channel, the system analyzes concentration trends. This process helps identify whether gas concentrations are within normal ranges, obtains concentration monitoring results, and further aids in assessing potential equipment malfunction risks.

[0038] Finally, the system comprehensively analyzes the results obtained from pressure monitoring, temperature monitoring, flow monitoring, and concentration monitoring. By combining the monitoring results of these different parameters, the system can comprehensively assess the status of the equipment. If any parameter is abnormal, the system will issue a warning, indicating a potential risk of equipment failure. The analysis of multiple monitoring results provides a more accurate reflection of the overall health of the equipment, thus providing strong support for maintenance and repair.

[0039] Furthermore, this application also includes: performing valve deformation detection on the pressure swing adsorption device to obtain a first detection result; evaluating the stability of pipe and joint connections on the pressure swing adsorption device to obtain a second detection result; identifying wear on the adsorption bed structure of the pressure swing adsorption device to obtain a third detection result; performing airtightness detection on the first detection result, the second detection result, and the third detection result according to an airtightness judgment threshold, and collecting the operating data based on the airtightness results.

[0040] Specifically, valves in pressure swing adsorption (PSA) devices are crucial components controlling gas flow, and their deformation can lead to limited gas flow or equipment failure. Valve deformation detection involves measuring and analyzing the valve's geometry to check for deformation caused by pressure, temperature changes, or other external factors. Detection methods can include using sensors, displacement gauges, and other tools to collect valve deformation data in real time, ensuring the valve remains operational. The initial detection result is the degree of valve deformation, which indicates whether the valve requires repair or replacement.

[0041] Secondly, the piping and joint connections of the pressure swing adsorption (PSA) unit are crucial for ensuring smooth gas flow. The stability of the piping and joints affects the system's airtightness and overall operating efficiency. Evaluating the stability of piping connections includes checking for cracks, loosening, and leaks, while ensuring the stability of joint connections guarantees that all connections are free from leaks, loosening, or detachment. Pressure testing and vibration analysis can determine whether the piping and joints can withstand long-term operating loads, ensuring safe equipment operation. The second test result is the stability evaluation of the piping and joint connections, which helps assess the equipment's reliability and maintenance needs.

[0042] Next, the adsorption bed is the core component of the pressure swing adsorption (PSA) unit, its main function being to adsorb impurities from the gas. During long-term use, the adsorption bed may wear down, leading to reduced adsorption efficiency and even affecting the overall performance of the equipment. Therefore, adsorption bed structural wear identification involves inspecting the surface, pores, and overall structure of the adsorption bed to determine if cracks, damage, aging, or other defects are present. The degree of wear on the adsorption bed can be obtained in real time through methods such as vibration analysis, acoustic wave detection, or temperature monitoring. The third test result is an assessment of the adsorption bed's wear condition, which helps determine whether the adsorption bed needs to be replaced to restore the equipment's adsorption efficiency.

[0043] Finally, airtightness is a crucial indicator for evaluating the safety and efficiency of a pressure swing adsorption (PSA) unit. Based on a preset airtightness threshold, the system combines the first, second, and third detection results to assess the overall airtightness of the equipment. If valve deformation, pipe joint stability, and adsorption bed wear meet airtightness requirements, it indicates that the equipment maintains good sealing performance and prevents gas leakage. If the detection results indicate problems, the airtightness assessment will warn of potential leakage risks. Based on the airtightness assessment results, the system further collects data related to equipment operation for real-time monitoring and early warning, ensuring the normal operation of the equipment.

[0044] Furthermore, this application also includes: extracting pressure monitoring results based on the status monitoring results, identifying adsorption bed blockage in the pressure swing adsorption device according to a preset pressure fluctuation, and obtaining adsorption bed monitoring results; extracting temperature monitoring results based on the status monitoring results, performing adsorption-desorption function testing on the pressure swing adsorption device according to a preset temperature range, and obtaining function monitoring results; extracting flow monitoring results and concentration monitoring results based on the status monitoring results, identifying adsorbent agglomeration in the pressure swing adsorption device according to a preset decreasing trend, and obtaining adsorbent monitoring results; and combining the adsorption bed monitoring results, the function monitoring results, and the adsorbent monitoring results to obtain the damage mode data.

[0045] Specifically, pressure data extracted from the condition monitoring results can detect abnormal pressure fluctuations in the system. Pressure fluctuations may indicate blockage or obstruction in the adsorption bed, which typically leads to restricted gas flow and reduced equipment efficiency. By comparing the detected pressure fluctuations to a preset range, if the fluctuations exceed the normal range, it can be determined whether the adsorption bed is blocked. After identifying adsorption bed blockage, the system outputs the adsorption bed monitoring results, providing diagnostic information on whether the equipment is blocked.

[0046] Secondly, in pressure swing adsorption (PSA) devices, adsorption and desorption typically occur under specific temperature conditions, making temperature fluctuation monitoring crucial. Temperature data extracted from condition monitoring results allows determination of whether the equipment operates within a preset temperature range. If the temperature exceeds the normal operating range, it may affect the adsorption and desorption processes, leading to equipment malfunction. Therefore, the system analyzes the temperature data and performs adsorption and desorption function tests based on the preset temperature range. Based on the test results, the system outputs a function monitoring result, determining whether the equipment is operating normally.

[0047] Next, flow rate monitoring results reflect the gas flow state, while concentration monitoring results reflect the gas purification effect during adsorption. An abnormal drop in flow rate or concentration may be due to adsorbent agglomeration, leading to a decrease in the performance of the adsorption device. Therefore, by analyzing the flow rate and concentration monitoring data and comparing them with a preset downward trend, the system can identify whether adsorbent agglomeration exists. Adsorbent agglomeration affects gas adsorption efficiency; therefore, by identifying this phenomenon, the system can obtain adsorbent monitoring results to guide equipment maintenance.

[0048] Finally, damage mode data is crucial information reflecting the overall health status of the pressure swing adsorption (PSA) unit. By combining adsorption bed monitoring results, functional monitoring results, and adsorbent monitoring results, a comprehensive assessment of the equipment's operating status can be achieved. For example, if the adsorption bed becomes clogged, its function is affected by temperature fluctuations, or the adsorbent clumps, all these issues will impact the overall efficiency and lifespan of the equipment. By comprehensively analyzing this monitoring data, the system can obtain accurate damage mode data to determine whether the equipment has potential faults or damage.

[0049] Furthermore, this application also includes: extracting the temperature change trend of the pressure swing adsorption device based on the preset temperature range to identify adsorption anomalies and obtain leakage detection results; identifying poor heat transfer of the pressure swing adsorption device based on its internal structure and verifying the leakage detection results to obtain leakage verification results; and using the leakage verification results as the functional monitoring results.

[0050] Specifically, temperature change is a critical parameter in pressure swing adsorption (PSA) devices because it directly affects the efficiency of adsorption and desorption processes. The system monitors temperatures within a preset range; if the temperature change trend deviates from the preset normal range, it indicates a potential anomaly. For example, during operation, the temperature typically changes with the adsorption and desorption process. If the temperature change is too rapid or too slow, it may indicate abnormal heat exchange due to gas leakage during adsorption. By extracting the temperature change trend of the device, the system can identify whether adsorption anomalies exist and generate leak detection results based on this identification.

[0051] Next, the internal structure of the pressure swing adsorption (PSA) device affects its heat transfer efficiency. Defects or poor design in the internal heat transfer system can lead to uneven temperature distribution or low heat transfer efficiency, thus impacting the performance of the entire adsorption process. By analyzing the internal structure, the system can identify any instances of poor heat transfer. Poor heat transfer can exacerbate leaks, therefore, the leak detection results from the previous step need to be verified. If heat transfer problems exist, the leak detection results may be inaccurate. By verifying the leak detection results, the system can obtain a more accurate leak verification result, ensuring that there is no actual leak in the device.

[0052] Finally, leak verification results are one of the important bases for equipment health monitoring. Leak verification results not only confirm whether a leak has occurred in the equipment, but also reflect the overall functional status of the equipment. If leak verification results indicate a leak, the equipment's functionality may be severely affected, leading to reduced work efficiency or decreased safety. Therefore, leak verification results directly serve as functional monitoring results, providing a basis for judging whether the equipment is operating normally.

[0053] Furthermore, this application also includes: obtaining the impact of the injury pattern data on health status and configuring injury weights; performing a weighted calculation of the injury pattern data according to the injury weights to obtain a health status score; and using the health status score as the health assessment result.

[0054] Specifically, in the condition monitoring of pressure swing adsorption (PSA) units, damage mode data reflects the health status of various parts of the equipment. For example, different components of the equipment, such as the adsorption bed, valves, and pipelines, may experience different types of damage during long-term operation. Each damage mode may have a different impact on the overall health of the equipment, requiring us to configure damage weights based on the specific impact of each damage mode. Damage weight refers to the degree of importance of different types of damage when assessing the health status of the equipment. If a damage mode has a significant impact on equipment performance, its damage weight will be higher. By acquiring this damage mode data and its corresponding impact, we can more accurately assess the health status of the equipment.

[0055] Based on the configured damage weights, we perform a weighted calculation on the data for each damage mode. The weighted calculation process involves multiplying the data for each damage mode by its corresponding damage weight and then summing the results. Through this calculation, we obtain a comprehensive health status score, which reflects the overall health of the equipment. For example, if a component has a high damage weight and its damage level is also high, then this component will have a greater impact on the health status score, thus lowering the overall health score of the equipment. Through this weighted method, the health status score can comprehensively reflect the health status of all components of the equipment.

[0056] Ultimately, the weighted health status score is the health assessment result, providing crucial information for equipment maintenance and repair. This score helps managers determine the current health status of the equipment and decide whether repairs or component replacements are necessary. For example, a low health status score indicates significant damage requiring repair or inspection, while a high score suggests good equipment health, potentially eliminating the need for immediate intervention. This health assessment score system provides a quantitative reference for equipment management.

[0057] In summary, the damage assessment method for pressure swing adsorption (PSA) devices provided in this application has the following technical effects: It collects real-time operating data of the PSA device through a sensor system, inputs the operating data into a damage assessment model to monitor the PSA device's condition, and obtains the condition monitoring results; it identifies damage patterns based on the monitoring results in the condition monitoring results to obtain damage pattern data; it assesses the health status based on the damage pattern data to obtain health assessment results; and it continuously monitors the PSA device based on the health assessment results. In other words, by achieving the technical goal of multimodal quantitative detection, it comprehensively and accurately monitors adsorber damage, improves the reliability of damage identification, and thus effectively extends the equipment's service life and ensures safe operation.

[0058] Example 2: Based on the damage assessment method for the pressure swing adsorption (PSA) device in the foregoing embodiments, and using the same inventive concept, this application also provides a damage assessment device for the PSA device. Please refer to the appendix. Figure 2 The device includes: a status monitoring module 11, which collects real-time operating data of the pressure swing adsorption (PSA) device through a sensor system, inputs the operating data into a damage assessment model to monitor the status of the PSA device, and obtains status monitoring results; a damage pattern recognition module 12, which identifies damage patterns based on the monitoring results in the status monitoring results and obtains damage pattern data; a health status assessment module 13, which assesses the health status based on the damage pattern data and obtains health assessment results; and a continuous monitoring module 14, which continuously monitors the PSA device based on the health assessment results.

[0059] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: introduce an adaptive calibration mapping relationship, identify the equipment status of the initial sensor system by collecting real-time data, and obtain the real-time status, wherein the adaptive calibration mapping includes a mapping relationship between equipment data and equipment status; identify the equipment health of the initial sensor system based on the real-time status and obtain a sensor repair strategy; and repair the initial sensor system according to the sensor repair strategy to obtain the sensor system.

[0060] Furthermore, the damage assessment device of the pressure swing adsorption (PSA) device is also used for: collecting historical operating data and fault records, constructing the damage assessment model, wherein the damage assessment model includes a pressure analysis channel, a temperature analysis channel, a flow rate analysis channel, and a concentration analysis channel; extracting pressure fluctuations from the operating data, inputting them into the pressure analysis channel, and performing pressure fluctuation analysis to obtain pressure monitoring results; extracting temperature fluctuations from the operating data, inputting them into the temperature analysis channel, and performing temperature fluctuation analysis to obtain temperature monitoring results; extracting gas flow rates from the operating data, inputting them into the flow rate analysis channel, and performing gas flow rate analysis to obtain flow rate monitoring results; extracting gas concentrations from the operating data, inputting them into the concentration analysis channel, and performing gas concentration analysis to obtain concentration monitoring results; and combining the pressure monitoring results, the temperature monitoring results, the flow rate monitoring results, and the concentration monitoring results to obtain the status monitoring results.

[0061] Furthermore, the damage assessment device for the pressure swing adsorption (PSA) device is also used for: detecting valve deformation in the PSA device to obtain a first detection result; evaluating the stability of pipe and joint connections in the PSA device to obtain a second detection result; identifying wear on the adsorption bed structure in the PSA device to obtain a third detection result; and performing airtightness testing on the first, second, and third detection results based on an airtightness judgment threshold, and collecting the operating data based on the airtightness results.

[0062] Furthermore, the damage assessment device for the pressure swing adsorption (PSA) device is also used for: extracting pressure monitoring results based on the status monitoring results; identifying adsorption bed blockage in the PSA device according to a preset pressure fluctuation to obtain adsorption bed monitoring results; extracting temperature monitoring results based on the status monitoring results; performing adsorption-desorption function testing on the PSA device according to a preset temperature range to obtain function monitoring results; extracting flow rate monitoring results and concentration monitoring results based on the status monitoring results; identifying adsorbent agglomeration in the PSA device according to a preset decreasing trend to obtain adsorbent monitoring results; and combining the adsorption bed monitoring results, the function monitoring results, and the adsorbent monitoring results to obtain the damage mode data.

[0063] Furthermore, the damage assessment device of the pressure swing adsorption device is also used for: extracting the temperature change trend of the pressure swing adsorption device based on the preset temperature range to identify adsorption anomalies and obtain leakage detection results; identifying poor heat transfer of the pressure swing adsorption device according to its internal structure and verifying the leakage detection results to obtain leakage verification results; and using the leakage verification results as the functional monitoring results.

[0064] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: obtain the health status impact based on the damage pattern data and configure damage weights; perform weighted calculation of the damage pattern data according to the damage weights to obtain a health status score; and use the health status score as the health assessment result.

[0065] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The damage assessment method and specific examples of the pressure swing adsorption device in the aforementioned embodiment 1 are also applicable to the damage assessment device of the pressure swing adsorption device in this embodiment. Through the foregoing detailed description of the damage assessment method of the pressure swing adsorption device, those skilled in the art can clearly understand the damage assessment device of the pressure swing adsorption device in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0066] Example 3: Based on the damage assessment method of the pressure swing adsorption device in the foregoing embodiments, and with the same inventive concept, this application also provides a computer-readable storage medium storing a computer program, which, when executed, implements the steps of the damage assessment method of the pressure swing adsorption device described in any one of the above embodiments.

[0067] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0068] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A damage assessment method for a pressure swing adsorption (PSA) device, characterized in that, include: The operating data of the pressure swing adsorption device is collected in real time by a sensor system. The operating data is then input into a damage assessment model to monitor the condition of the pressure swing adsorption device and obtain the condition monitoring results. Damage pattern identification is performed based on the monitoring results in the condition monitoring results to obtain damage pattern data; A health status assessment is performed based on the injury pattern data to obtain the health assessment results. The pressure swing adsorption device is continuously monitored based on the health assessment results. The acquisition of status monitoring results includes: Historical operating data and fault records are collected to construct the damage assessment model, which includes a pressure analysis channel, a temperature analysis channel, a flow analysis channel, and a concentration analysis channel. Based on the operational data, pressure fluctuations, temperature fluctuations, gas flow rate, and gas concentration are extracted respectively, and corresponding analysis is performed in the pressure analysis channel, temperature analysis channel, flow rate analysis channel, and concentration analysis channel to obtain pressure monitoring results, temperature monitoring results, flow rate monitoring results, and concentration monitoring results. The status monitoring results are obtained by combining the pressure monitoring results, temperature monitoring results, flow rate monitoring results, and concentration monitoring results. The acquisition of status monitoring results previously included: Valve deformation detection is performed on the pressure swing adsorption device to obtain the first detection result; The stability of the pipeline and joint connections of the pressure swing adsorption device is evaluated, and a second test result is obtained; The pressure swing adsorption device is subjected to wear identification of the adsorption bed structure, and a third detection result is obtained; Based on the airtightness judgment threshold, the first detection result, the second detection result, and the third detection result are subjected to airtightness testing, and the operating data is collected based on the airtightness results; Damage pattern identification is performed based on the monitoring results in the condition monitoring results to obtain damage pattern data, including: Based on the state monitoring results, pressure monitoring results are extracted, and adsorption bed blockage is identified in the pressure swing adsorption device according to the preset pressure fluctuation to obtain adsorption bed monitoring results. Based on the state monitoring results, temperature monitoring results are extracted, and the adsorption-desorption function of the pressure swing adsorption device is tested according to a preset temperature range to obtain the function monitoring results. Based on the status monitoring results, the flow monitoring results and concentration monitoring results are extracted. According to the preset downward trend, the pressure swing adsorption device is used to identify adsorbent agglomeration and obtain the adsorbent monitoring results. The damage mode data are obtained by combining the adsorption bed monitoring results, the functional monitoring results, and the adsorbent monitoring results.

2. The damage assessment method for the pressure swing adsorption device as described in claim 1, characterized in that, include: An adaptive calibration mapping relationship is introduced, and the device status of the initial sensor system is identified by collecting real-time data to obtain the real-time status. The adaptive calibration mapping includes the mapping relationship between device data and device status. Based on the real-time status, the initial sensor system is assessed for device health, and a sensor repair strategy is obtained. The initial sensor system is repaired according to the sensor repair strategy to obtain the sensor system.

3. The damage assessment method for the pressure swing adsorption device as described in claim 1, characterized in that, The adsorption-desorption function of the pressure swing adsorption device is tested within a preset temperature range, and the functional monitoring results are obtained, including: Based on the preset temperature range, the temperature change trend of the pressure swing adsorption device is extracted to identify adsorption anomalies and obtain leakage detection results. Based on the internal structure, the heat transfer defects of the pressure swing adsorption device are identified, and the leakage detection results are verified to obtain the leakage verification results. The leakage verification results are used as the functional monitoring results.

4. The damage assessment method for the pressure swing adsorption device as described in claim 1, characterized in that, A health status assessment is performed based on the injury pattern data to obtain health assessment results, including: The impact of the damage pattern data on health status is obtained, and damage weights are configured. A health status score is obtained by weighting the damage pattern data according to the damage weights. The health status score is taken as the health assessment result.

5. A damage assessment device for a pressure swing adsorption (PSA) device, characterized in that, The steps for implementing the damage assessment method for the pressure swing adsorption device according to any one of claims 1 to 4 include: The status monitoring module is used to collect the operating data of the pressure swing adsorption device in real time through the sensor system, input the operating data into the damage assessment model to monitor the status of the pressure swing adsorption device, and obtain the status monitoring results. A damage pattern recognition module is used to perform damage pattern recognition based on the monitoring results in the state monitoring results to obtain damage pattern data. A health status assessment module is used to assess health status based on the injury pattern data and obtain health assessment results. A continuous monitoring module is provided, which is used to continuously monitor the pressure swing adsorption device based on the health assessment results.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the steps of the damage assessment method for the pressure swing adsorption device according to any one of claims 1 to 4.

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